Package io.prediction.examples.java.recommendations.tutorial1

Examples of io.prediction.examples.java.recommendations.tutorial1.DataSource

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  private HashMap<String, DataSource> packages = new HashMap<String, DataSource>();
  private DataSource defaultSource;
 
  @Override
  public Object getProperty(String name) {
    DataSource pack = getPack(name);
    name = fixName(pack,name);
    return pack.getProperty(name);
  }
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  protected DataSource getPack(String name) {
    if (name == null) return defaultSource;
    String packName = MString.beforeIndex(name, '.');
    if (packName.length() == 0) return defaultSource;
    DataSource pack = packages.get(packName);
    return pack == null ? defaultSource : pack;
  }
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    return pack == null ? defaultSource : pack;
  }

  @Override
  public boolean isProperty(String name) {
    DataSource pack = getPack(name);
    name = fixName(pack,name);
    return pack.isProperty(name);
  }
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    return pack.isProperty(name);
  }

  @Override
  public void removeProperty(String name) throws MException {
    DataSource pack = getPack(name);
    name = fixName(pack,name);
    pack.removeProperty(name);
  }
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    pack.removeProperty(name);
  }

  @Override
  public void setPropertyData(String name, Object value) throws MException {
    DataSource pack = getPack(name);
    name = fixName(pack,name);
    pack.setProperty(name, value);
  }
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    packages.remove(name);
  }

  @Override
  public boolean isPropertyPossible(String name) {
    DataSource pack = getPack(name);
    name = fixName(pack,name);
    return pack.isPropertyPossible(name);
  }
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  }

  public static void runComponents(String filePath) {
    JavaEngineParams engineParams = new JavaEngineParamsBuilder()
      .dataSourceParams(new DataSourceParams(filePath))
      .addAlgorithmParams("MyRecommendationAlgo", new AlgoParams(0.2)) // Add Algorithm Params
      .build();

    JavaWorkflow.runEngine(
      (new HalfBakedEngineFactory()).apply(),
      engineParams,
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public class Runner3 {

  public static void runEvaluation(String filePath) {
    JavaEngineParams engineParams = new JavaEngineParamsBuilder()
      .dataSourceParams(new DataSourceParams(filePath))
      .addAlgorithmParams("MyRecommendationAlgo", new AlgoParams(0.2))
      .build();

    JavaWorkflow.runEngine(
      (new EngineFactory()).apply(),
      engineParams,
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public class Runner5 {

  public static void runEvaluation(String filePath) {
    JavaEngineParams engineParams = new JavaEngineParamsBuilder()
      .dataSourceParams(new DataSourceParams(filePath))
      .addAlgorithmParams("MyMahoutRecommendationAlgo",
        new MahoutAlgoParams("LogLikelihoodSimilarity"))
      .build();

    JavaWorkflow.runEngine(
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    }
  }

  public static void runComponents(String filePath) {
    JavaEngineParams engineParams = new JavaEngineParamsBuilder()
      .dataSourceParams(new DataSourceParams(filePath))
      .build();

    JavaWorkflow.runEngine(
      (new HalfBakedEngineFactory()).apply(),
      engineParams,
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Related Classes of io.prediction.examples.java.recommendations.tutorial1.DataSource

  • com.smartgwt.client.data.DataSourceField
  • com.smartgwt.client.data.fields.DataSourceTextField
  • com.smartgwt.client.data.Record
  • com.smartgwt.client.widgets.grid.CellFormatter
  • com.smartgwt.client.widgets.grid.events.RecordClickHandler
  • com.smartgwt.client.widgets.grid.HoverCustomizer
  • com.smartgwt.client.widgets.grid.ListGridField
  • com.smartgwt.client.widgets.grid.ListGridRecord
  • de.mhus.lib.form2.binding.PackagingDataSource
  • io.prediction.controller.java.EmptyParams
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